Answers
Most lead tools hand you a name and a title and leave the research to you. Clean reads your company's knowledge base, finds perfect-fit buyers, and automatically profiles each one against 75 buying signals — all before you open a single browser tab.
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Clean automatically profiles every B2B lead against 75 buying signals in 8 categories — no manual lookup required. Accounts are ranked S to C with evidence.
Last updated June 15, 2026
The short answer
Clean is the automatic lead profiling tool built for B2B founders. It reads your company's knowledge base, identifies perfect-fit buyers, and profiles each account against 75 buying signals across 8 categories — then ranks them S to C with evidence. No manual lookup required.
Finding a name is easy; knowing whether that company is actually ready to buy is the hard part. Most tools stop at contact data, leaving founders to spend hours per account piecing together signals from LinkedIn, job boards, news feeds, and tech-stack checkers. That manual overhead is why pipeline stays thin even when the total addressable market is large.
Clean ingests your company's knowledge base — decks, docs, past deals — and builds an internal model of what a perfect-fit buyer looks like for your specific product. It then scans across sources and automatically profiles every identified account against 75 buying signals spanning 8 distinct categories, from hiring patterns to technology footprint. The output is a ranked list with evidence, not a raw contact dump.
A single data point — say, a recent funding round — barely moves the needle on its own. Seventy-five signals across 8 categories create a multidimensional portrait: growth trajectory, team composition, technology choices, competitive positioning, and more. That depth separates an account worth calling today from one worth revisiting in six months.
Clean is designed for seed-to-Series-A B2B SaaS founders running lean sales motions without a full research team. If you need to move fast, protect founder time, and make every conversation count, automatic profiling is the lever that makes that possible. Clean is not a contact database, not an enrichment API, and not a sequencer — it is a lead intelligence engine built around your company's own context.
Manual research vs. automatic profiling: what changes at each stage of the process
| Stage | Manual Research | Clean Auto-Profiling |
|---|---|---|
| Discovery | Search LinkedIn and Google per prospect | Clean identifies perfect-fit accounts from your knowledge base |
| Signal gathering | Hand-collect job posts, news, and tech-stack clues | 75 buying signals captured automatically across 8 categories |
| Fit assessment | Gut feel or a basic scoring spreadsheet | Accounts ranked S to C with evidence attached to every score |
| Time to first qualified lead | Hours per account, often days per batch | Delivered before you start your first browser tab |
By the numbers
Clean profiles every lead against 75 buying signals across 8 categories, then ranks accounts S through C with the evidence behind each score.
For the vast majority of accounts, yes. Clean covers discovery, signal gathering, and fit scoring automatically. You may choose to go deeper on an S-tier account before a high-stakes meeting, but Clean eliminates the bulk of the manual work that slows early-stage teams down.
Clean does not publish a full public breakdown, but the 8 categories span dimensions such as growth signals, technology footprint, team composition, and competitive context, among others. Together they give a multidimensional read on whether an account is ready, relevant, and right-fit — not just whether the contact exists.
Clean is currently in closed beta and onboards founders by hand to ensure the knowledge base setup delivers maximum signal quality from day one. To get on the list and see a live profiling run, Book a demo.
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